Dataset Information

Chromatographic Fingerprint and Quantitative Analysis of Commercial Pheretima aspergillum (Guang Dilong) and Its Adulterants by UPLC-DAD.

ABSTRACT: Guang Dilong is a Traditional Chinese Medicine prepared from the dried body of Pheretima aspergillum (E. Perrier), a species of earthworm. However, preparations of Guang Dilong may be adulterated by other species and a method of quality control is needed. A method was developed to analyze and authenticate commercial Guang Dilong, utilizing ultra-high performance liquid chromatography (UHPLC) coupled with diode array detection (DAD). Equipment included an Acquity UPLC HSS T3 column (100?mm × 2.1?mm, 1.8??m). The mobile phase consisted of acetonitrile and 0.01% formic acid, pumped at 0.3?mL/min. Wavelength detection was at 260?nm. Twenty-two batches of confirmed P. aspergillum samples (reference) from different sources and 20 batches of adulterated samples were analyzed to establish a reference fingerprint for commercial Guang Dilong. Five peaks in the fingerprints of the reference batches were identified as characteristic; six characteristic peaks in the fingerprints of the adulterants were identified by comparing their retention time with those of the references. The total 42 batches of samples were compared with the reference fingerprint, and the fingerprints of the P. aspergillum samples were similar. The UHPLC-DAD method can simultaneously determine the contents of six compounds (hypoxanthine, xanthine, uridine, inosine, guanosine, and adenosine) in the reference and adulterated batches. The six compounds showed good regression (r > 0.9999) within test ranges. The recovery (accuracy) was 98.25 to 101.68%, with relative standard deviation <2.67%. In summary, this UHPLC-DAD method combines chromatographic fingerprint with quantification analysis and could be readily used as an efficient quality control method for Guang Dilong.

SUBMITTER: Sun J

PROVIDER: S-EPMC6343145 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

Chromatographic Fingerprint and Quantitative Analysis of Commercial <i>Pheretima aspergillum</i> (Guang Dilong) and Its Adulterants by UPLC-DAD.

Sun Jie J Tian Fang F Zhang Ying Y Wu Menghua M Mao Runqian R Le Zhiyong Z Xu Dongjin D Cao Hui H Ma Zhiguo Z

International journal of analytical chemistry 20190109

Guang Dilong is a Traditional Chinese Medicine prepared from the dried body of <i>Pheretima aspergillum</i> (E. Perrier), a species of earthworm. However, preparations of Guang Dilong may be adulterated by other species and a method of quality control is needed. A method was developed to analyze and authenticate commercial Guang Dilong, utilizing ultra-high performance liquid chromatography (UHPLC) coupled with diode array detection (DAD). Equipment included an Acquity UPLC HSS T3 column (100 mm ...[more]

PMID: 30728838

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Project description:Background:Danmu preparations (Danmu Capsule and Danmu Syrup), which are made from Nauclea officinalis stem extracts, have good clinical efficacy in acute tonsillitis, acute pharyngitis and upper respiratory tract infection. However, there is currently no reliable and systematic method to control the quality of these two Danmu preparations. Methods:Using high-performance liquid chromatography (HPLC) coupled with diode array detection (DAD), the fingerprints of the Danmu preparations were established at 250 nm to comprehensively investigate the stability of preparation process. The chemical constituents in the Danmu preparations were separated and identified by HPLC coupled with quadrupole-time-of-flight high-definition mass spectrometry (HPLC-Q-TOF-MS). And seven major components were simultaneously determined at dual wavelengths (250 nm, 326 nm). Results:The results of HPLC fingerprint similarity evaluation showed that the similarity values of 25 batches of Danmu preparations were more than 0.993. Twenty-three compounds, including 10 alkaloids, 6 phenolic acids, 2 iridoids, and 5 unknown compounds, were identified or tentatively characterized according to the retention times and MS/MS fragment patterns of compounds. The developed assay method of seven components was validated with acceptable linearity, precision, repeatability, stability and recovery. The contents of strictosamide belonging to alkaloids as the most abundant constituent in Danmu Capsule and Danmu Syrup were 43,681.20-99,652.49 ?g/g and 1567.83-2427.25 ?g/mL respectively. The contents of protocatechuic acid which were the highest in measured phenolic acids were 2633.01-7739.78 ?g/g in Danmu Capsule and 192.05-448.71 ?g/mL in Danmu Syrup, respectively. As an iridoid, the contents of sweroside in Danmu Capsule and Danmu Syrup were 1573.82-2789.81 ?g/g and 70.32-182.81 ?g/mL, respectively. Conclusion:The established qualitative analysis method of fingerprint can be used to attain standardization, uniformity and stability of the preparation process. Meanwhile, the quantitative analysis in this study can be used as an accurate assay method for preparations.

Project description:Gentiana rigescens Franchet, which is famous for its bitter properties, is a traditional drug of chronic hepatitis and important raw materials for the pharmaceutical industry in China. In the study, high-performance liquid chromatography (HPLC), coupled with diode array detector (DAD) and chemometrics, were used to investigate the chemical geographical variation of G. rigescens and to classify medicinal materials, according to their grown latitudes. The chromatographic fingerprints of 280 individuals and 840 samples from rhizomes, stems, and leaves of four different latitude areas were recorded and analyzed for tracing the geographical origin of medicinal materials. At first, HPLC fingerprints of underground and aerial parts were generated while using reversed-phase liquid chromatography. After the preliminary data exploration, two supervised pattern recognition techniques, random forest (RF) and orthogonal partial least-squares discriminant analysis (OPLS-DA), were applied to the three HPLC fingerprint data sets of rhizomes, stems, and leaves, respectively. Furthermore, fingerprint data sets of aerial and underground parts were separately processed and joined while using two data fusion strategies ("low-level" and "mid-level"). The results showed that classification models that are based OPLS-DA were more efficient than RF models. The classification models using low-level data fusion method built showed considerably good recognition and prediction abilities (the accuracy is higher than 99% and sensibility, specificity, Matthews correlation coefficient, and efficiency range from 0.95 to 1.00). Low-level data fusion strategy combined with OPLS-DA could provide the best discrimination result. In summary, this study explored the latitude variation of phytochemical of G. rigescens and developed a reliable and accurate identification method for G. rigescens that were grown at different latitudes based on untargeted HPLC fingerprint, data fusion, and chemometrics. The study results are meaningful for authentication and the quality control of Chinese medicinal materials.

Dataset Information

Chromatographic Fingerprint and Quantitative Analysis of Commercial Pheretima aspergillum (Guang Dilong) and Its Adulterants by UPLC-DAD.

Publications

Chromatographic Fingerprint and Quantitative Analysis of Commercial <i>Pheretima aspergillum</i> (Guang Dilong) and Its Adulterants by UPLC-DAD.

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